Senior Data Analyst - Data Monitoring
New
M
MNTNAdTech
100% remote within the USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLBusiness IntelligenceSparkData visualizationData modelingBigQuery
Requirements
- 5+ years of experience in Data Analytics, Business Intelligence, Data Science, or a related field
- Strong SQL skills with experience analyzing large-scale, high-volume datasets
- Experience using Python or similar tools for data analysis, automation, and data transformation
- Experience building dashboards, reporting solutions, and data visualizations for technical and business stakeholders
- Knowledge of database design, data modeling, ETL/ELT processes, and modern data platforms
- Strong analytical and problem-solving skills with the ability to investigate complex operational issues
- Experience collaborating with cross-functional engineering and operations teams in fast-paced environments
- Excellent communication skills with the ability to explain complex findings to technical and non-technical audiences
- Experience with Apache Spark, BigQuery, or similar modern analytics platforms is a plus
- Experience in AdTech, MarTech, digital advertising, or media is a plus
Responsibilities
- Analyze production, operational, and campaign data to identify trends, anomalies, and opportunities for improvement
- Design and build scalable data monitoring solutions that proactively detect issues and improve platform reliability
- Develop dashboards, recurring reports, and self-service analytics that provide visibility into system health and operational performance
- Partner with Engineering and Production Operations to investigate incidents, perform root cause analysis, and recommend data-driven solutions
- Identify monitoring gaps and implement new metrics and alerts to improve incident detection and response
- Translate business and operational questions into structured analyses, actionable insights, and clear recommendations
- Collaborate across teams to improve data quality, reporting consistency, and operational decision-making
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